Responsible AI in the Generative Era with Michael Kearns - #662

Responsible AI in the Generative Era with Michael Kearns - #662

Today we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we discuss the new challenges to responsible AI brought about by the generative AI era. We explore Michael’s learnings and insights from the intersection of his real-world experience at AWS and his work in academia. We cover a diverse range of topics under this banner, including service card metrics, privacy, hallucinations, RLHF, and LLM evaluation benchmarks. We also touch on Clean Rooms ML, a secured environment that balances accessibility to private datasets through differential privacy techniques, offering a new approach for secure data handling in machine learning. The complete show notes for this episode can be found at twimlai.com/go/662.

Jaksot(779)

Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180

Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180

In this episode, we’re joined by Hanbyul Joo, a PhD student at CMU. Han is working on what is called the “Panoptic Studio,” a multi-dimension motion capture studio used to capture human body behavio...

13 Syys 201851min

Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179

Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179

In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying d...

10 Syys 201845min

AI for Content Creation with Debajyoti Ray - TWiML Talk #178

AI for Content Creation with Debajyoti Ray - TWiML Talk #178

In today’s episode we’re joined by Debajyoti Ray, Founder and CEO of RivetAI, a startup producing AI-powered tools for storytellers and filmmakers. Deb and I discuss some of what he’s learned in the ...

6 Syys 201855min

Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177

Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177

Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, who joins us to review the core elements of RL, along with a pair of his RL-related papers: “Efficien...

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OpenAI Five with Christy Dennison - TWiML Talk #176

OpenAI Five with Christy Dennison - TWiML Talk #176

Today we’re joined by Christy Dennison, Machine Learning Engineer at OpenAI, who has been working on OpenAI’s efforts to build an AI-powered agent to play the DOTA 2 video game. In our conversation we...

27 Elo 201848min

How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175

How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175

Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conferenc...

23 Elo 201845min

Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174

Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174

Today we’re joined by Nasrin Mostafazadeh, Senior AI Research Scientist at New York-based Elemental Cognition. Our conversation focuses on Nasrin’s work in event-centric contextual modeling in langua...

20 Elo 201849min

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs. Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Mac...

16 Elo 201856min

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